On the Use of Co-Data in Clinical Trials

Article Properties
  • Language
    English
  • Publication Date
    2016/07/02
  • Indian UGC (journal)
  • Refrences
    57
  • Citations
    38
  • Beat Neuenschwander Novartis Pharma AG, Basel, Switzerland
  • Satrajit Roychoudhury Novartis Pharmaceuticals, East Hannover, NJ, USA
  • Heinz Schmidli Novartis Pharma AG, Basel, Switzerland
Cite
Neuenschwander, Beat, et al. “On the Use of Co-Data in Clinical Trials”. Statistics in Biopharmaceutical Research, vol. 8, no. 3, 2016, pp. 345-54, https://doi.org/10.1080/19466315.2016.1174149.
Neuenschwander, B., Roychoudhury, S., & Schmidli, H. (2016). On the Use of Co-Data in Clinical Trials. Statistics in Biopharmaceutical Research, 8(3), 345-354. https://doi.org/10.1080/19466315.2016.1174149
Neuenschwander B, Roychoudhury S, Schmidli H. On the Use of Co-Data in Clinical Trials. Statistics in Biopharmaceutical Research. 2016;8(3):345-54.
Journal Categories
Medicine
Medicine (General)
Computer applications to medicine
Medical informatics
Science
Biology (General)
Science
Mathematics
Science
Mathematics
Probabilities
Mathematical statistics
Refrences
Title Journal Journal Categories Citations Publication Date
Title 2010
Title 2003
Title 1984
Title 2015
Title 2015
Citations
Title Journal Journal Categories Citations Publication Date
A Bayesian adaptive design for dual‐agent phase I–II oncology trials integrating efficacy data across stages

Biometrical Journal
  • Medicine: Medicine (General): Computer applications to medicine. Medical informatics
  • Science: Biology (General)
  • Science: Mathematics: Probabilities. Mathematical statistics
  • Science: Mathematics
2023
Alone, together: On the benefits of Bayesian borrowing in a meta‐analytic setting

Pharmaceutical Statistics
  • Medicine: Therapeutics. Pharmacology
  • Science: Mathematics: Probabilities. Mathematical statistics
  • Medicine: Public aspects of medicine: Toxicology. Poisons
2023
Challenges in Implementing Futility Schemes, with Reference to Aducanumab Therapeutic Innovation & Regulatory Science
  • Medicine: Medicine (General): Computer applications to medicine. Medical informatics
  • Medicine: Therapeutics. Pharmacology
  • Medicine: Public aspects of medicine: Toxicology. Poisons
1 2023
Copula-Based Model for Incorporating Single-Agent Historical Data into Dual-Agent Phase I Cancer Trials Statistics in Biopharmaceutical Research
  • Medicine: Medicine (General): Computer applications to medicine. Medical informatics
  • Science: Biology (General)
  • Science: Mathematics: Probabilities. Mathematical statistics
  • Science: Mathematics
1 2023
Coping with Information Loss and the Use of Auxiliary Sources of Data: A Report from the NISS Ingram Olkin Forum Series on Unplanned Clinical Trial Disruptions Statistics in Biopharmaceutical Research
  • Medicine: Medicine (General): Computer applications to medicine. Medical informatics
  • Science: Biology (General)
  • Science: Mathematics: Probabilities. Mathematical statistics
  • Science: Mathematics
3 2023
Citations Analysis
The category Science: Mathematics: Probabilities. Mathematical statistics 25 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Bayesian Phase II optimization for time-to-event data based on historical information and was published in 2017. The most recent citation comes from a 2023 study titled Dynamic Enrichment of Bayesian Small-Sample, Sequential, Multiple Assignment Randomized Trial Design Using Natural History Data: A Case Study from Duchenne Muscular Dystrophy. This article reached its peak citation in 2022, with 9 citations. It has been cited in 20 different journals, 10% of which are open access. Among related journals, the Pharmaceutical Statistics cited this research the most, with 5 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year